My Account Login Create Account
BACK TOscan.co.uk
Scan AI

Get in touch with our AI team.

AI Case Studies

Discover how Scan helps organisations achieve their AI goals

 

Scan brings AI to life. As the only UK organisation to deliver both on-premise and hosted systems, we provide end-to-end AI solutions from proof of concept to development, training and inferencing. To get the best results from an AI deployment, you need a trusted partner who will listen to your unique challenges and business models, but who can then guide you through the possibilities and pitfalls, to devise a complete AI strategy. This is where Scan comes in with our unique AI Ecosystem, enabling you to understand what you need at every stage of your AI journey, from initial proof of concept right through to deployed solution.

GPU Cloud

This comprehensive, yet personal approach is why we’re trusted by so many companies and organisations from all areas of business.

Click the industry sector tabs below to explore some of our success stories.

AI in Education & Research

Higher education is at the frontlines of major global challenges, training innovators in AI, accelerated computing and data science. At the same time, institutions need to meet the demand for more flexible, accessible education options. The ability to handle large workloads, increase efficiency and lower operational costs with centralised infrastructure and computational excellence is key and this can be delivered in any learning environment by using GPU-accelerated AI and HPC, to enable researchers to leverage modelling, simulation and experimental datasets to address even the biggest challenges.

Feature Page Updated 18 MAR 2024
KCL, the AI Centre and the AI Deployment Engine (AIDE)

Scan worked with King’s College London and the AI Centre for Value Based Healthcare, to rollout GPU-accelerated clusters to numerous NHS Trusts, in order to accelerate real-time medical image diagnosis and improve patient outcomes.

Read more
Feature Page Updated 18 MAR 2024
KCL, the AI Centre and the Federated Learning Interoperability Platform (FLIP)

Scan worked with King’s College London and the AI Centre for Value Based Healthcare, to rollout federated learning functionality across numerous NHS Trusts, in order to AI model development and automated diagnosis, using anonymised patient imaging datasets.

Read more
Feature Page Published 27 FEB 2023
Fathom Global

The global leader in flood and climate risk technology.

Read more
Feature Page Published 31 MAY 2022
inooLabs

Using Natural Language Processing inooLabs has built a product which delivers information to students on any given topic from multiple sources in a simple manner.

Read more
Feature Page Published 10 MAR 2022
University of Liverpool

Using DGX A100 to map and understand molecules

Read more
Feature Page Published 15 JAN 2021
EnvirometriX and OpenGeoHub

Learn how OpenGeoHub and EnvirometriX pioneered a global predictive vegetation and soil mapping system using AI technology.

Read more

AI for the Energy Industry

Energy touches every aspect of modern society, from our personal lives to impacting world economies. Today, the industry faces challenges in exploring new resources, reducing costs, maintaining safe conditions for workers and communities, and ensuring reliable energy delivery to customers. There are numerous ways that GPU-accelerated systems can help address these challenges including enhancing the performance of complex geophysical and engineering applications to reduce time to results. The high compute power, massively paralleled processors and high-speed memory of GPUs allow oil and gas companies to visualise and analyse petabytes of well location data in milliseconds, implement advanced algorithms to locate faults in underground structure and use deep learning training on raw seismic trace data to accelerate exploration and discover faults in geology.

AI for the Finance Industry

Financial services business face a growing number of challenges - massive datasets, perpetual market fluctuations, the need for swift analysis and rising demand for personalised assistance. Intelligent GPU-accelerated technologies can address critical challenges within the modern financial services industry allowing institutions to boost risk management, make better data-backed decisions, increase security and reduce fraud - all whilst enhancing customer experiences with advances such as natural language processing (NLP) being implemented to better tailor customer interactions.

Feature Page Published 12 JAN 2024
Quantum Qube

Discover how Scan helped Quantum Qube to model the trading markets using statistical learning.

Read more
Feature Page Published 22 MAR 2021
Cognitiv+

With Cognitiv+ Out of the Box Solution, it’s easy to analyse your documents, extract key provisions, save time and mitigates risks involved in document review.

Read more

AI for the Healthcare Industry

The world’s leading health organisations are equipping their doctors and scientists with GPU-accelerated compute systems to drive AI adoption - helping them transform lives and the future of research. With AI, they can tackle interoperable data, meet the increasing demand for personalised medicine and next-generation VR-enabled operating theatres. It is also being used to increase accuracy and reduce diagnosis times, freeing consultants up to perform more surgeries, and accelerate areas such as image analysis and drug discovery.

Feature Page Updated 18 MAR 2024
KCL, the AI Centre and the AI Deployment Engine (AIDE)

Scan worked with King’s College London and the AI Centre for Value Based Healthcare, to rollout GPU-accelerated clusters to numerous NHS Trusts, in order to accelerate real-time medical image diagnosis and improve patient outcomes.

Read more
Feature Page Updated 18 MAR 2024
KCL, the AI Centre and the Federated Learning Interoperability Platform (FLIP)

Scan worked with King’s College London and the AI Centre for Value Based Healthcare, to rollout federated learning functionality across numerous NHS Trusts, in order to AI model development and automated diagnosis, using anonymised patient imaging datasets.

Read more
Feature Page Published 26 APR 2022
Peptone

Accelerating protein-based drug discovery using computational molecular physics

Read more
Feature Page Published 10 MAY 2021
Bering, iCAIRD and NHSGCC

Learn how AI-powered chest X-ray image diagnosis technology is being adapted to help early identification of COVID-19 cases.

Read more
Feature Page Published 28 FEB 2021
Vet AI

Joii, which was developed in accordance with world-class vets, enables pet owners to make the best choice for their dog or cat.

Read more

AI for Manufacturing

The most progressive industrial companies in the world are implementing GPU-accelerated technologies to deploy large-scale AI initiatives. This enables deep learning and AI at industrial scale, letting you take advantage of unprecedented amounts of sensor and operational data to bring down labour costs, reduce product defects, shorten unplanned downtimes, improve transition times and increase production speed. AI -powered visual analytics is also being used to improve employ safety and compliance when using personal protection equipment (PPE).

Feature Page Published 19 FEB 2021
TurinTech

Learn how TurinTech enables businesses to automatically build accurate and explainable AI that runs faster. The answer is the Evolutionary Optimisation Platform.

Read more

AI for the Robotics Industry

From smart automation in manufacturing to last-mile delivery, robots are becoming more ubiquitous in everyday life. Today's robots can do more than just perform tasks - they can learn, adapt and evolve using capabilities such as machine learning, computer vision, navigation and more. The AI in robots not only helps to learn the model to perform certain tasks but also makes machines more intelligently react to different scenarios, making them much more flexible to deal with everyday situations.

Feature Page Published 4 DEC 2023
Oxford Robotics Institute

Emerging Oscillatory Latent-Space Dynamics for Sensorimotor Control.

Read more
Feature Page Published 2 MAY 2023
Oxford Robotics Institute

Touching a NeRF: leveraging neural radiance fields for tactile sensory data generation.

Read more
Feature Page Published 2 MAY 2023
Oxford Robotics Institute

Efficient skill acquisition for complex manipulation tasks in obstructed environments.

Read more
Feature Page Published 14 JULY 2022
Oxford Robotics Institute

Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry

Read more
Feature Page Published 30 JUNE 2022
Oxford Robotics Institute

Next Steps: Learning a Disentangled Gait Representation for Versatile Quadruped Locomotion

Read more
Feature Page Published 13 MAY 2021
Oxford Robotics Institute

Learning to understand objects in images without supervision for robotics applications.

Read more

AI in Transportation

Autonomous vehicles are transforming the way we live, work and play, creating safer and more efficient roads. With the power of GPU-accelerated systems embedded within vehicles, AI models can be deployed to improve road safety, increase productivity and develop greener transportation. Embedded platforms can simultaneously process data from a wide array of sensors, constantly collecting vital data for building a robust autonomous driving training library spanning a wide variety of traffic scenarios and conditions - essential for the development of safe self-driving vehicles.

Feature Page Published 22 MAY 2022
Gaist

Using AI to understand the condition of highway infrastructure and assets and enable detailed lifecycle planning. Read more

Read more

AI for the Surveillance Industry

Surveillance using multiple sensors at the edge connected to AI-powered analytics has the ability to influence outcomes in a number of environments - retail, warehousing, logistics and entertainment. Leading organisations are leveraging AI to reduce shrinkage, improve forecasting, automate warehouse logistics, determine in-store promotions and real-time pricing, deliver personalisation and recommendations to customers, and deliver better experiences both in stores, theatres, casinos and more.

AI for Smart Cities

AI has the ability to deliver new ways to create more sustainable cities, maintain infrastructure and improve public services for residents and communities. It all starts with the ability to gather data from trillions of sensors and other IoT devices and extract actionable insights in real time - to improve operational efficiency, resource allocation, disaster response and perform realtime traffic flow analysis and re-routing to ensure minimal commuter delays and optimal public transport performance.

AI for the Retail Sector

Leading retailers are leveraging AI to reduce shrinkage, improve forecasting, automate warehouse logistics, determine in-store promotions and real-time pricing, enable customer personalisation and recommendations, and deliver better shopping experiences—both in stores and online. Understanding customer behaviour has never been more critical for retailers looking to drive growth. AI applications powered by video analytics can give retailers the same visibility into customer behaviour in stores as they currently have online.

Feature Page Published 3 NOV 2021
Interaction Care

Interaction Care uses a unique combination of technologies to help our clients proactively protect their customers and employees on site from high-risk situations that could jeopardise their health and safety.

Read more

AI in Space Research

AI is enabling an exciting new era of enhanced capabilities and agencies such as NASA and ESA are embracing this to explore and apply new methods to critical challenges in earth science, space exploration and planetary stewardship. With our planet’s challenges mounting, data from satellites is enabling the investigation of phenomena such as floods, superstorms and global wildfires, with the ultimate aim of prediction and forewarning - for the benefit of all humankind.

Feature Page Published 18 DEC 2023
FDL Europe 2023 - Foundational Model Adaptors for Disasters

Can LLMs collate and interpret information on emerging and historic disasters, to improve response and analysis?

Read more
Feature Page Published 18 DEC 2023
FDL Europe 2023 - Generalisable SSL Synthetic Aperture Radar

Can foundation models for SAR data address a range of downstream tasks and deliver results across time and space?

Read more
Feature Page Published 18 DEC 2023
FDL Europe 2023 - Live Twin for Space Weather

Can machine learning onboard space observatories and on Earth help build a near real-time warning system for potentially dangerous solar weather events?

Read more
Feature Page Published 12 JAN 2023
FDL Europe 2022 - Live Twin Hydrological Models

Can data-driven ML models, informed by real-time satellite data build an end-to-end flood prediction system?

Read more
Feature Page Published 12 JAN 2023
FDL Europe 2022 - Live Twin Aerosols

Understanding how aerosols and other emissions from extreme fires affect weather and climate.

Read more
Feature Page Published 12 SEP 2022
FDL Europe 2021 – World Food Embeddings

Researching whether AI and satellite images can be used to track the world’s food supply.

Read more
Feature Page Published 12 SEP 2022
FDL Europe 2021 - Extreme Event Hot Spots

Can onboard AI technology be deployed on satellites to improve observations on extreme weather events?

Read more
Feature Page Published 7 JULY 2021
FDL Europe 2020 - Clouds and Aerosols

The project team used observations from a geo-stationary satellite over the Southern Atlantic Ocean, combined with data from ECMWF and IMERG estimates to better understand the aerosol impact on cloud structure through the application of multiple machine learning methods.

Read more
Feature Page Published 7 JULY 2021
FDL Europe 2020 - Digital Twin Earth

The DTE project set out to discover whether machine learning can learn forecast precipitation by fusing simulated satellite weather data with physical model data, to offer a low-cost alternative to expensive simulation infrastructure.

Read more

We're adding new case studies all the time...

Please keep checking back regulary for more examples of how AI is being used in your industry sector today.

Return to Scan AI Homepage